#!/usr/bin/env python
#=========================================================================
#
#  Copyright NumFOCUS
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#         http://www.apache.org/licenses/LICENSE-2.0.txt
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.
#
#=========================================================================

from __future__ import print_function

import SimpleITK as sitk
import sys
import os

if len ( sys.argv ) < 2:
    print( "Usage: %s <input>" % ( sys.argv[0] ) )
    sys.exit ( 1 )


image = sitk.Cast( sitk.ReadImage( sys.argv[1] ), sitk.sitkFloat32 ) 

edges = sitk.CannyEdgeDetection( image, lowerThreshold=200, upperThreshold=400, variance=[4]*3 )

stats = sitk.StatisticsImageFilter()
stats.Execute( image )

if ( not "SITK_NOSHOW" in os.environ ):
    sitk.Show( sitk.Maximum( image*0.5, edges*stats.GetMaximum()*.5) )
